國立虎尾科技大學 |

Data driven treatment response assessment and preterm, perinatal, and paediatric image analysis = first International Workshop, DATRA 2018 and third International Workshop, PIPPI 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data driven treatment response assessment and preterm, perinatal, and paediatric image analysis/ edited by Andrew Melbourne ... [et al.].
其他題名:	first International Workshop, DATRA 2018 and third International Workshop, PIPPI 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /
其他題名:	DATRA 2018
其他作者:	Melbourne, Andrew.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xi, 180 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Diagnostic imaging - Congresses. - Data processing -
電子資源:	https://doi.org/10.1007/978-3-030-00807-9
ISBN:	9783030008079

Data driven treatment response assessment and preterm, perinatal, and paediatric image analysis = first International Workshop, DATRA 2018 and third International Workshop, PIPPI 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /
Data driven treatment response assessment and preterm, perinatal, and paediatric image analysisfirst International Workshop, DATRA 2018 and third International Workshop, PIPPI 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /[electronic resource] :DATRA 2018edited by Andrew Melbourne ... [et al.]. - Cham :Springer International Publishing :2018. - xi, 180 p. :ill., digital ;24 cm. - Lecture notes in computer science,110760302-9743 ;. - Lecture notes in computer science ;6140..

DeepCS: Deep Convolutional Neural Network and SVM based Single Image Super-Resolution -- Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-Weighted Magnetic Resonance (MR) Images -- Detecting Bone Lesions in Multiple Myeloma Patient Using Transfer Learning -- Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response -- Optimizing External Surface Sensor Locations for Respiratory Tumor Motion Prediction -- Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound -- Automatic Shadow Detection in 2D Ultrasound Images -- Multi-Channel Groupwise Registration to Construct and Ultrasound-Specific Fetal Brain Atlas -- Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach -- Segmentation of Pelvic Vessels in Pediatric MRI Using a Patch-Based Deep Learning Approach -- Multi-View Image Reconstruction: Application to Fetal Ultrasound Compounding -- EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers -- Better Feature Matching for Placental Panorama Construction -- Combining Deep Learning and Multi-Atlas Label Fusion for Automated Placenta Segmentation from 3DUS -- LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images -- Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-Scale Dense Networks -- Paediatric Liver Segmentation for Low-Contrast CT Images.

This book constitutes the refereed joint proceedings of the First International Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and the Third International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 5 full papers presented at DATRA 2018 and the 12 full papers presented at PIPPI 2018 were carefully reviewed and selected. The DATRA papers cover a wide range of exploring pattern recognition technologies for tackling clinical issues related to the follow-up analysis of medical data with focus on malignancy progression analysis, computer-aided models of treatment response, and anomaly detection in recovery feedback. The PIPPI papers cover topics of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period.

ISBN: 9783030008079

Standard No.: 10.1007/978-3-030-00807-9doiSubjects--Topical Terms:

787070
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0757

Data driven treatment response assessment and preterm, perinatal, and paediatric image analysis = first International Workshop, DATRA 2018 and third International Workshop, PIPPI 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /
LDR:03960nam a2200385 a 4500 001 928984
003 DE-He213
005 20180916141025.0
006 m d
007 cr nn 008maaau
008 190626s2018 sz s 0 eng d
020 $a 9783030008079 $q (electronic bk.)
020 $a 9783030008062 $q (paper)
024 7 $a 10.1007/978-3-030-00807-9 $2 doi
035 $a 978-3-030-00807-9
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.D53
072 7 $a UMA $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a UMA $2 thema
082 0 4 $a 616.0757 $2 23
090 $a RC78.7.D53 $b D234 2018
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Data driven treatment response assessment and preterm, perinatal, and paediatric image analysis $h [electronic resource] : $b first International Workshop, DATRA 2018 and third International Workshop, PIPPI 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings / $c edited by Andrew Melbourne ... [et al.].
246 3 $a DATRA 2018
246 3 $a PIPPI 2018
246 3 $a MICCAI 2018
260 $a Cham : $c 2018. $b Springer International Publishing : $b Imprint: Springer,
300 $a xi, 180 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11076
490 1 $a Image processing, computer vision, pattern recognition, and graphics
505 0 $a DeepCS: Deep Convolutional Neural Network and SVM based Single Image Super-Resolution -- Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-Weighted Magnetic Resonance (MR) Images -- Detecting Bone Lesions in Multiple Myeloma Patient Using Transfer Learning -- Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response -- Optimizing External Surface Sensor Locations for Respiratory Tumor Motion Prediction -- Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound -- Automatic Shadow Detection in 2D Ultrasound Images -- Multi-Channel Groupwise Registration to Construct and Ultrasound-Specific Fetal Brain Atlas -- Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach -- Segmentation of Pelvic Vessels in Pediatric MRI Using a Patch-Based Deep Learning Approach -- Multi-View Image Reconstruction: Application to Fetal Ultrasound Compounding -- EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers -- Better Feature Matching for Placental Panorama Construction -- Combining Deep Learning and Multi-Atlas Label Fusion for Automated Placenta Segmentation from 3DUS -- LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images -- Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-Scale Dense Networks -- Paediatric Liver Segmentation for Low-Contrast CT Images.
520 $a This book constitutes the refereed joint proceedings of the First International Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and the Third International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 5 full papers presented at DATRA 2018 and the 12 full papers presented at PIPPI 2018 were carefully reviewed and selected. The DATRA papers cover a wide range of exploring pattern recognition technologies for tackling clinical issues related to the follow-up analysis of medical data with focus on malignancy progression analysis, computer-aided models of treatment response, and anomaly detection in recovery feedback. The PIPPI papers cover topics of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period.
650 0 $a Diagnostic imaging $x Data processing $v Congresses. $3 787070
650 1 4 $a Computing Methodologies. $3 640210
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Health Informatics. $3 593963
650 2 4 $a Arithmetic and Logic Structures. $3 672631
700 1 $a Melbourne, Andrew. $3 1209230
710 2 $a SpringerLink (Online service) $3 593884
711 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 6140. $3 744199
830 0 $a Image processing, computer vision, pattern recognition, and graphics. $3 1209216
856 4 0 $u https://doi.org/10.1007/978-3-030-00807-9
950 $a Computer Science (Springer-11645)